Xingcheng Zhou

Orcid: 0000-0003-1178-5221

According to our database1, Xingcheng Zhou authored at least 16 papers between 2022 and 2025.

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Bibliography

2025
Generative AI for Autonomous Driving: Frontiers and Opportunities.
CoRR, May, 2025

LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring.
CoRR, April, 2025

OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model.
CoRR, March, 2025

Towards Vision Zero: The Accid3nD Dataset.
CoRR, March, 2025

TUMTraffic-VideoQA: A Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes.
CoRR, February, 2025

Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors.
CoRR, February, 2025

2024
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook.
IEEE Trans. Intell. Veh., November, 2024

PointCompress3D - A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems.
CoRR, 2024

GPT-4V as Traffic Assistant: An In-depth Look at Vision Language Model on Complex Traffic Events.
CoRR, 2024

A Survey on Autonomous Driving Datasets: Data Statistic, Annotation, and Outlook.
CoRR, 2024

WARM-3D: A Weakly-Supervised Sim2Real Domain Adaptation Framework for Roadside Monocular 3D Object Detection.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

GraphRelate3D: Context-Dependent 3D Object Detection with Inter-Object Relationship Graphs.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

TUMTraf V2X Cooperative Perception Dataset.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Vision Language Models in Autonomous Driving and Intelligent Transportation Systems.
CoRR, 2023

2022
Real-Time And Robust 3D Object Detection with Roadside LiDARs.
CoRR, 2022

A Survey of Robust 3D Object Detection Methods in Point Clouds.
CoRR, 2022


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